!file("build/reports/pmd/main.xml").exists()
        file("htmlReport.html").exists()
    }

    def "use custom rule set files"() {
        assumeTrue(fileLockingIssuesSolved())

        customCode()
        file("customRuleSet.xml") << customRuleSet()

        buildFile << """
            pmd {
                ruleSetFiles = files("customRuleSet.xml")
            }
        """

  %custom_1 = "tfl.custom"(%arg0, %dq_w) {custom_code = "CustomTestOp", custom_option = #tfl<const_bytes : "0x">} : (tensor<1x1x1x1xf32>, tensor<1024x1x1x1xf32>) -> tensor<*xf32>
  %custom_2 = "tfl.custom"(%arg0, %dq_w) {custom_code = "CustomTestOp", custom_option = #tfl<const_bytes : "0x">} : (tensor<1x1x1x1xf32>, tensor<1024x1x1x1xf32>) -> tensor<*xf32>

        buildFile << """
        class CustomModel {
            List<String> values = []
        }

        class MyComponentBinariesPlugin implements Plugin<Project> {
            void apply(final Project project) {}

            static class Rules extends RuleSource {
               @Model
               CustomModel customModel() {
                   new CustomModel()
               }

// CHECK: %[[CUSTOM_0:.*]] = "tfl.custom"(%[[CONV2D_0]], %[[CONST_2]]) <{custom_code = "FlexMinimum", custom_option = #tfl<const_bytes : "0x074D696E696D756D001812074D696E696D756D1A001A002A070A01541202300132000002231B1414042801">}> : (tensor<1x3x4x2xf32>, tensor<2xf32>) -> tensor<1x3x4x2xf32>

  // CHECK:      %0 = "tfl.custom"() <{custom_code = "FlexVarHandleOp"
  // CHECK-NEXT: %1 = "tfl.custom"(%0) <{custom_code = "FlexReadVariableOp"
  // CHECK-NEXT: %2 = "tfl.custom"(%1, %arg0) <{custom_code = "FlexAddV2"
  // CHECK-NEXT: "tfl.custom"(%0, %2) <{custom_code = "FlexAssignVariableOp"
  // CHECK-NEXT: %3 = "tfl.custom"(%0) <{custom_code = "FlexReadVariableOp"
  func.return %3 : tensor<1x10xf32>
}

import org.gradle.integtests.tooling.fixture.TargetGradleVersion
import org.gradle.integtests.tooling.fixture.ToolingApiSpecification
import org.gradle.integtests.tooling.fixture.ToolingApiVersion
import org.gradle.integtests.tooling.r85.CustomModel
import org.gradle.test.fixtures.file.TestFile
import org.gradle.tooling.BuildException
import org.gradle.tooling.events.ProgressEvent
import org.gradle.tooling.events.ProgressListener

  %b = arith.constant dense<127.0> : tensor<2048x1x1x1xf32>
  %custom_1 = "tfl.custom"(%0, %w_1, %w_2, %b) {custom_code = "CustomTestOp", custom_option = #tfl<const_bytes : "0x">} : (tensor<1x1x1x1xf32>, tensor<4096x1x1x1xf32>, tensor<128x1x1x1xf32>, tensor<2048x1x1x1xf32>) -> tensor<*xf32>

llvm::MinMax OperandNumbersMinMax(llvm::StringRef op_name);

// Populates the `custom_code` and `custom_options` to attributes.
// `custom_code` is used to identify CustomOp.
// `custom_options` are opaque attribute used to store infomations for this
// custom op.
tensorflow::Status CustomOptionsToAttributes(
    const std::string &custom_code, const std::vector<uint8_t> &custom_options,
    mlir::Builder builder,
    // NOLINTNEXTLINE

  %custom = "tfl.custom"(%0, %w) {custom_code = "CustomTestOp", custom_option = #tfl<const_bytes : "0x">} : (tensor<1x1x1x1xf32>, tensor<1024x1x1x1xf32>) -> tensor<*xf32>
  func.return %custom : tensor<*xf32>

// CHECK: %[[w:.*]] = arith.constant dense<1.270000e+02> : tensor<1024x1x1x1xf32>
// CHECK: %[[custom:.*]] = "tfl.custom"(%arg0, %[[w:.*]]) <{custom_code = "CustomTestOp", custom_option = #tfl<const_bytes : "0x">}>

}

Status mlir::CustomOptionsToAttributes(
    const std::string& custom_code, const std::vector<uint8_t>& custom_options,
    mlir::Builder builder, mlir::Location loc,
    llvm::SmallVectorImpl<mlir::NamedAttribute>* attributes) {
  attributes->emplace_back(
      builder.getNamedAttr("custom_code", builder.getStringAttr(custom_code)));
  std::string content;